Role Overview

Manage and optimize the company’s data warehouse architecture and data pipelines.
Design and maintain scalable data models to support analytics, reporting, and business intelligence.
Ensure data quality, reliability, and governance across internal data systems.
Oversee ETL/ELT processes to integrate data from multiple sources including CRM, marketing platforms, financial systems, and operational databases.
Implement best practices for data security, access control, and data lifecycle management.
Deliver high level analysis to support revenue growth, customer acquisition, and market expansion.
Analyze sales pipeline performance, customer behavior, marketing campaign effectiveness, and market trends.
Develop dashboards and reporting frameworks that provide leadership with clear, actionable insights.
Partner with Sales and Marketing leaders to identify opportunities for growth, efficiency, and competitive advantage.
Translate business questions into data driven analysis and recommendations.
Support leadership with strategic analysis including forecasting, segmentation, and performance measurement.
Identify key metrics and KPIs that drive business performance.
Build scalable analytical frameworks that support long term decision making.
Explore and implement opportunities to leverage AI and machine learning to enhance analytics and forecasting.
Develop scalable data automation processes that improve reporting efficiency and reduce manual work.
Support the integration of AI tools that enhance insight generation, predictive modeling, and operational decision making.
Work closely with business stakeholders to understand data needs and translate them into technical solutions.
Act as a bridge between technical teams and business leaders.
Communicate insights clearly to both technical and non-technical audiences.

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
5+ years of experience in data management, analytics, or business intelligence roles.
Strong experience with data warehouse environments (Snowflake, Redshift, BigQuery, or similar).
Experience designing and managing data pipelines and ETL/ELT workflows.
Strong SQL skills and experience working with large datasets.
Experience analyzing sales, marketing, or customer data to support business strategy.
Strong ability to translate complex data into clear insights for leadership.

Tech Stack

Amazon Redshift
BigQuery
ETL
SQL

Benefits

Health insurance
Retirement plans
Paid time off
Flexible work arrangements
Professional development opportunities

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Analytics & Insights Data Manager